Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 93 tok/s
Gemini 2.5 Pro 55 tok/s Pro
GPT-5 Medium 15 tok/s
GPT-5 High 20 tok/s Pro
GPT-4o 98 tok/s
GPT OSS 120B 460 tok/s Pro
Kimi K2 217 tok/s Pro
2000 character limit reached

Open Quantum System Approaches to Superconducting Qubits (2402.19241v1)

Published 29 Feb 2024 in quant-ph

Abstract: Random and uncontrollable noises from the environment during the design and measurement of superconducting qubits lead to limitations in qubit coherence time and gate fidelity, which is a major challenge in the current state of the art for superconducting quantum computing. To advance superconducting qubits technologies it is essential to understand and mitigate environmentally induced errors. This requires modeling superconducting qubits as open quantum systems coupled to their surroundings. The present study aims to provide useful open quantum system approaches to analyze and quantify the interaction between the superconducting qubits and their environment. We provide an accessible introduction to open quantum systems for newcomers to the field. For experts we discuss recently developed methods for analyzing qubit dynamics under realistic noises. We outline how these techniques provide quantitative insights into the decoherence mechanism and how they can guide design improvements to enhance qubits' coherence time. This self-contained review of open quantum system approaches can be used to model, understand, and improve superconducting qubit performance in the presence of unavoidable environmental noises.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)

X Twitter Logo Streamline Icon: https://streamlinehq.com